Related Experiment Video
Updated: Jul 7, 2025

Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
Published on: October 2, 2016
Variation in Botanical Reference Materials: Similarity of Actaea Racemosa Analyzed by Flow Injection Mass
1Methods and Applications Food Composition Lab, Beltsville Human Nutrition Research Center, Agricultural Research Service, U.S. Department of Agricultural, Building 307C, BARC-East, Beltsville, MD, USA.
Botanical reference materials (BRMs) show significant chemical differences due to species and harvest factors. Chemometric analysis revealed environmental, genetic, and experimental influences on species discrimination.
Area of Science:
- Botanical Reference Materials (BRMs)
- Chemometrics
- Herbal Medicine Analysis
Background:
- Botanical reference materials (BRMs) exhibit variability in chemical composition influenced by species, cultivar, and harvest conditions.
- This variability can lead to statistically significant differences when analyzed using chemometric methods.
Purpose of the Study:
- To compare the chemical composition of various Actaea root botanical reference materials (BRMs).
- To analyze A. racemosa root BRMs, commercial roots, and supplements using chemometric methods and pre-processing techniques.
Main Methods:
- Flow Injection Mass Spectrometry (FIMS) for sample analysis.
- Principal Component Analysis (PCA) and factorial multivariate analysis of variance (mANOVA) for chemometric analysis.
- Evaluation of selected pre-processing approaches.
Main Results:
- Statistically significant compositional differences were identified between genera (Actaea, Panax, Ginkgo) and among Actaea species.
- Variability in 6% of BRM variables was conserved, reducing compositional differences between sources.
- Pre-processing methods, variable selection, and confidence limits influenced the compositional overlap of A. racemosa and other Actaea BRMs.
Conclusions:
- Environmental and genetic factors significantly influence the discrimination between botanical species and authentic reference materials.
- Frequency distribution plots from soft independent modeling of class analogy effectively illustrate the impact of experimental factors on analysis.
More Related Videos
11:44Qualitative Characterization of the Aqueous Fraction from Hydrothermal Liquefaction of Algae Using 2D Gas Chromatography with Time-of-flight Mass Spectrometry
Published on: March 6, 2016
11:00Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
Published on: May 20, 2013
Related Concept Videos
High-Resolution Mass Spectrometry (HRMS)
Mass Spectrometry: Complex Analysis
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
Mass Spectrometry: Carboxylic Acid, Ester, and Amide Fragmentation
For example,...
Mass Spectrometry: Amine Fragmentation
In amines, the number of nitrogen atoms affects the mass of the molecular ion, which is described by the nitrogen rule of mass spectrometry. This rule states that a compound containing...